Overview
DAS300 - Data Science and Analytics with R
This intensive training course provides theoretical and technical aspects of Data Science and Business Analytics. The course covers fundamental and advanced concepts of deriving business insights from Data Science Algorithms and Analytical Methods. R, which has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting is then introduced. The R programming language is then used for statistical analysis of data as well as supervised and unsupervised machine learning based on data science algorithms. This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.
PYT500 - Data Science Projects with Python
Data Science Projects with Python will help you get comfortable with using the Python environment for data science. This course will start you on your journey to mastering topics within machine learning. These skills will help you deliver the kind of state-of-the-art predictive models that are being used to deliver value to businesses across industries.
DAS350 - Machine Learning Workshop using TensorFlow
This is an in depth hands on workshop based course that teaches the fundamentals of Machine Learning (ML) and Neural Networks (NN). The course is designed for professionals who will be asked to solve various business problems using ML. Workshop projects are designed to be realistic. They follow a complete lifecycle:
- Collect and clean up data.
- Design a model
- Train the model with data
- Start doing prediction
We primarily use Keras for the workshops. In some cases, we dive lower and code using Tensorflow API. This done to gain a better understanding of the concepts.
If you are interested in enrolling in the entire certificate, visit this page: DS1.PRO: Data Science Certificate.
Hours and CEUs
42 Hours | 4.2 CEU